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Confidence estimates from CARE-PPO significantly outperform traditional logit-based methods, ensuring that LLMs can predict not just accurately, but also reliably.
English-only post-training of LLMs is suboptimal: even a single non-English language improves both English performance and cross-lingual generalization.